Speech emotion recognition (SER) systems are useful in several applications such as e-learning, where the emotional attributes of the pupils can be identified to regulate the teaching style of the tutors [1]}, [2]}. Rapid commercialization of speech emotion recognition can be seen in employee mood identification [3]}, interactive games [4]}, call centers [5]} to decipher customer queries and complaints, psychiatric aids, among others.
